@InProceedings{RodriguesNobrSilvCuar:2011:EfReEs,
author = "Rodrigues, Grasiela de Oliveira and Nobre, Antonio Donato and
Silveira, Andr{\'e} Carvalho and Cuartas, Luz Adriana",
affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto
Nacional de Pesquisas da Amaz{\^o}nia – INPA} and {Instituto
Nacional de Pesquisas Espaciais - INPE} and {Instituto Nacional de
Pesquisas Espaciais - INPE}",
title = "Efeitos da resolu{\c{c}}{\~a}o espacial de dados SRTM na
descri{\c{c}}{\~a}o de terrenos obtida pelo modelo HAND (Height
Above the Nearest Drainage) – estudo de caso em Manaus/AM",
booktitle = "Anais...",
year = "2011",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "5769--5776",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "HAND, SRTM, resolution spatial, drainage.",
abstract = "This paper shows the application of the SRTM topographic data of
30 and 90 meters of spatial resolution in the model of terrain
HAND (Height Above the Nearest Drainage), developed at the
National Institute for Space Research, reveals that the
hydrological characteristics of the landscape. The HAND
classification model shows potential representation of the
landscape when it is normalized with respect to drainage. The
study area is located in Central Amazonia (Brazil), has about 47
thousand square meters and involves the confluence of the Negro
and Solimoes Rivers that form the Amazon River. HAND model was
applied in two resolutions described and the results were
classified according to four classes with hydrological
significance, called HAND classes (class 1, waterlogged; class 2,
ecotone; classe 3, slope and class 4, plateau). Comparing the two
HAND mappings, the interference of the forest canopy and outbreaks
of deforestation is greatest in the finer scale, adding errors. In
local analysis, the data of 30 meters provides more information
than the 90 meters, but on global scales, data from 90 meters are
best. The classes slope (class 3) and plateau (class 4) are the
ones that suffer the most influence with the spatial resolution of
the data.",
conference-location = "Curitiba",
conference-year = "30 abr. - 5 maio 2011",
isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW/3A6MQ5H",
url = "http://urlib.net/ibi/3ERPFQRTRW/3A6MQ5H",
targetfile = "p1379.pdf",
type = "Cartografia, Fotogrametria, Lidar e Sensores",
urlaccessdate = "2024, Apr. 28"
}